Talk (screencast of IROS2016) on Cooperative aerial tele-manipulation with haptic feedback

This is the screencast of the talk that Domenico Prattichizzo gave in IEEE IROS 2016 in Korea to present the IROS paper:

M. Mohammadi, A. Franchi, Davide Barcelli, and D. Prattichizzo,
“Cooperative aerial tele-manipulation with haptic feedback”,
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), Daejeon, Korea, 2016, pp. 5092-5098.

Summary of the paper: In this paper, we propose a bilateral tele-operation scheme for cooperative aerial manipulation in which a human operator drives a team of Vertical Take-Off and Landing (VTOL) aerial vehicles, that grasped an object beforehand, and receives a force feedback depending on the states of the system.

Abstract:
In this paper, we propose a bilateral tele-operation scheme for cooperative aerial manipulation in which a human operator drives a team of Vertical Take-Off and Landing (VTOL) aerial vehicles, that grasped an object beforehand, and receives a force feedback depending on the states of the system. For application scenarios in which dexterous manipulation by each robot is not necessary, we propose using a rigid tool at- tached to the vehicle through a passive spherical joint, equipped with a simple adhesive mechanism at the tool-tip that can stick to the grasped object. Having more than two robots, we use the extra degrees of freedom to find the optimal force allocation in term of minimum power and forces smoothness. The human operator commands a desired trajectory for the robot team through a haptic interface to a pose controller, and the output of the pose controller along with system constraints, e.g., VTOL limited forces and contact maintenance, defines the feasible set of forces. Then, an on-line optimization allocates forces by minimizing a cost function of forces and their variation. Finally, propeller thrusts are computed by a dedicated attitude and thrust controller in a decentralized fashion. Human/Hardware in the loop simulation study shows efficiency of the proposed scheme, and the importance of haptic feedback to achieve a better performance.

VIDEO ON YOUTUBE

Check out the video on youtube:

The paper is here linked

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